IronPDF How-Tos Async & Multithreading How to Generate PDFs with Async and Multithreading Chipego Kalinda Updated:June 22, 2025 Async and threading are crucial when generating high-performance PDFs in C# and VB.NET with IronPDF in batches or for optimized performance. Get started with IronPDF Start using IronPDF in your project today with a free trial. First Step: Start for Free How to Generate PDFs with Async and Multithreading Download IronPDF from NuGet to get started with async and multithreading PDF generation Prepare the HTML contents to be converted Use the RenderHtmlAsPdfAsync method to convert HTML to PDF asynchronously with IronPDF Explore using the Parallel.ForEach method for multithreading in PDF processing Review the performance comparison of different PDF generation techniques Async Example IronPDF fully supports async operation using its rendering methods such as the RenderHtmlAsPdfAsync method. :path=/static-assets/pdf/content-code-examples/how-to/async-async.cs using IronPdf; using System.Threading.Tasks; // Instantiate ChromePdfRenderer ChromePdfRenderer renderer = new ChromePdfRenderer(); string[] htmlStrings = {"<h1>Html 1</h1>", "<h1>Html 2</h1>", "<h1>Html 3</h1>"}; // Create an array to store the tasks for rendering var renderingTasks = new Task<PdfDocument>[htmlStrings.Length]; for (int i = 0; i < htmlStrings.Length; i++) { int index = i; // Capturing the loop variable renderingTasks[i] = Task.Run(async () => { // Render HTML to PDF return await renderer.RenderHtmlAsPdfAsync(htmlStrings[index]); }); } // Wait for all rendering tasks to complete // await Task.WhenAll(renderingTasks); Imports IronPdf Imports System.Threading.Tasks ' Instantiate ChromePdfRenderer Private renderer As New ChromePdfRenderer() Private htmlStrings() As String = {"<h1>Html 1</h1>", "<h1>Html 2</h1>", "<h1>Html 3</h1>"} ' Create an array to store the tasks for rendering Private renderingTasks = New Task(Of PdfDocument)(htmlStrings.Length - 1){} For i As Integer = 0 To htmlStrings.Length - 1 Dim index As Integer = i ' Capturing the loop variable renderingTasks(i) = Task.Run(Async Function() ' Render HTML to PDF Return Await renderer.RenderHtmlAsPdfAsync(htmlStrings(index)) End Function) Next i ' Wait for all rendering tasks to complete ' await Task.WhenAll(renderingTasks); $vbLabelText $csharpLabel Multi-Threading Example IronPDF is thread-safe and supports multithreading when using the IronPdf.ChromePdfRenderer rendering engine. Note that multithreading is limited on macOS machines. The Parallel.ForEach pattern is particularly useful for batch processing PDFs. :path=/static-assets/pdf/content-code-examples/how-to/async-multi-thread.cs using IronPdf; using System.Collections.Concurrent; using System.Collections.Generic; using System.Threading.Tasks; var queue = new List<string>() { "<h1>Html 1</h1>", "<h1>Html 2</h1>", "<h1>Html 3</h1>" }; // Instantiate ChromePdfRenderer ChromePdfRenderer renderer = new ChromePdfRenderer(); // Create a list to store the rendered PDFs List<PdfDocument> pdfResults = new List<PdfDocument>(); Parallel.ForEach(queue, html => { // Render HTML to PDF PdfDocument pdf = renderer.RenderHtmlAsPdf(html); // You may choose to save the PDF to disk here if needed // For this example, we'll store it in the pdfResults list lock (pdfResults) { pdfResults.Add(pdf); } }); Imports IronPdf Imports System.Collections.Concurrent Imports System.Collections.Generic Imports System.Threading.Tasks Private queue = New List(Of String)() From {"<h1>Html 1</h1>", "<h1>Html 2</h1>", "<h1>Html 3</h1>"} ' Instantiate ChromePdfRenderer Private renderer As New ChromePdfRenderer() ' Create a list to store the rendered PDFs Private pdfResults As New List(Of PdfDocument)() Parallel.ForEach(queue, Sub(html) ' Render HTML to PDF Dim pdf As PdfDocument = renderer.RenderHtmlAsPdf(html) ' You may choose to save the PDF to disk here if needed ' For this example, we'll store it in the pdfResults list SyncLock pdfResults pdfResults.Add(pdf) End SyncLock End Sub) $vbLabelText $csharpLabel Performance Comparison Let's perform a comparison. A 5-second delay is additionally added in rendering with the WaitFor class for simulating complex HTML rendering. Below is a comparison table of the performance using various techniques described above. Normal Render Asynchronous Render Multithreaded Render 15.75 seconds 05.59 seconds 05.68 seconds Frequently Asked Questions How can I convert HTML to PDF asynchronously in C#? You can convert HTML to PDF asynchronously in C# using IronPDF's RenderHtmlAsPdfAsync method, which allows for efficient PDF generation by not blocking the main thread. What is the benefit of using multithreading for PDF processing? Multithreading in PDF processing with IronPDF allows you to handle multiple PDF conversions concurrently, making it ideal for batch processing and leveraging multiple CPU cores for enhanced performance. Can IronPDF be used for both async and multithreaded PDF generation? Yes, IronPDF supports both asynchronous and multithreaded PDF generation. You can use RenderHtmlAsPdfAsync for async operations and Parallel.ForEach for multithreaded processing. Is IronPDF thread-safe for PDF generation? Yes, IronPDF is thread-safe, particularly when using the IronPdf.ChromePdfRenderer rendering engine, although there are some limitations on macOS. How does the performance of async PDF generation compare to multithreaded generation? In performance comparisons, asynchronous PDF generation with IronPDF typically takes around 5.59 seconds, while multithreaded generation takes about 5.68 seconds, both significantly faster than normal rendering at 15.75 seconds. What is a practical use case for multithreading in PDF processing with IronPDF? A practical use case for multithreading with IronPDF is batch processing, where you need to convert a large number of HTML files to PDFs simultaneously, optimizing resource usage and reducing processing time. Are there any specific considerations for using IronPDF on macOS? While IronPDF supports multithreading, there are noted limitations when using this feature on macOS. It's important to test and verify multithreaded applications in your specific environment. Chipego Kalinda Chat with engineering team now Software Engineer Chipego has a natural skill for listening that helps him to comprehend customer issues, and offer intelligent solutions. He joined the Iron Software team in 2023, after studying a Bachelor of Science in Information Technology. IronPDF and IronOCR are the two products Chipego has been focusing on, but his knowledge of ...Read More Ready to Get Started? Free NuGet Download Total downloads: 15,030,178 View Licenses